Shivakumara, P. and Vinay Kumar, N. and Guru, D. S. and Tan, C. L. (2014) Separation of graphics (Superimposed) and scene text in video frames. In: 11th IAPR International Workshop on Document Analysis Systems, DAS 2014.
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The presence of both graphics and scene text in video frames makes text detection and recognition problem more challenging because the nature of the two texts differs significantly. This paper aims to propose a novel method for separation of graphics and scene text to achieve good recognition rate based on the fact that Canny and Sobel edge pattern share common property for text. We propose to use Ring Radius Transform to identify the radius that represents the medial axis in the edge image. We study the intra relationship between bins of the histograms over respective radius values, resulting in intra line graphs. In this way, the method finds intra line graphs for both Canny and Sobel edge images of the input text lines. To identify the unique distribution for separation of graphics and scene texts, we explore the inter relationship between intra line graphs of Canny and Sobel edge image with respective medial axes values. This results in Gaussian distribution for graphics and non-Gaussian for scene text. Experimental results on horizontal, non-horizontal, different scripts etc. show that the proposed method is effective for classification and the results of baseline recognition methods show that recognition rate is significantly improved after classification.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Character recognition, Classification (of information), Text processing, Graph theory, Text detection, Separation, Scene Text, Common property, Inter-relationships, Intra relationship, Medial axis, Non horizontals, Recognition methods |
| Subjects: | D Physical Science > Computer Science |
| Divisions: | Department of > Computer Science |
| Depositing User: | Arshiya Kousar Library Assistant |
| Date Deposited: | 10 Jul 2019 06:39 |
| Last Modified: | 10 Jul 2019 06:39 |
| URI: | http://eprints.uni-mysore.ac.in/id/eprint/4471 |
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